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PhD Project in Deep Generative Models and Missing Data at Technical University of Denmark

Technical University of Denmark, Denmark has an opening PhD position in sustainable development. The deadline to apply is August 12, 2020.

, would like to invite applications for a 3-year PhD position starting November 1, 2020 (or as soon as possible). The project is financed by a grant from the Independent Research Fund Denmark, and the PhD student will be supervised by Associate Professor Jes Frellsen.

The Section for Cognitive Systems is an internationally renowned group for machine learning research. The group aims for the highest quality research. You are encouraged to collaborate both within the group and with other international groups. We emphasize a healthy work/life balance based on the premise that you do the best work when you are happy. Incomplete data are ubiquitous in all branches of science and technology. Data with values missing-not-at-random (MNAR) is the most complex type of incomplete data, and ignoring the missing process when learning from this kind of data can lead to biased estimates of model parameters. The objective of this project is to study and develop methods for learning deep generative models that jointly learn the data generating process and missing-data mechanism in MNAR data. We will consider models based on Variational Autoencoders (VAEs), normalizing flows and Generative Adversarial Networks (GANs). Of particular interest is advanced inference techniques, heterogeneous data and how to make minimal but principal modelling assumptions about the missing process, but the focus will depend on the chosen candidate. We are interested in various applications within image analysis, collaborative filtering and bioinformatics. The project includes collaborations and stays with Professor Julie Josse at cole Polytechnique and Research Scientist Pierre-Alexandre Mattei at INRIA in Sophia Antipolis. Curriculum vitae (incl. list of publications or other research experience) Excel sheet with translation of grades to the Danish grading system An example technical text you have written in English such as a report prepared for a course, a consulting project, or a published peer-reviewed scientific article. Candidates may apply prior to obtaining their master’s degree but cannot begin before having received it.

Applications and enclosures received after the deadline will not be considered. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. DTU Compute is an internationally unique academic environment spanning the science disciplines mathematics, statistics and computer science. At the same time we are an engineering department covering informatics and communication technologies (ICT) in their broadest sense. Finally, we play a major role in addressing the societal challenges of the digital society where ICT is a part of every industry, service, and human endeavour. DTU Compute has a total staff of 400 including 100 faculty members and 130 Ph.D. students. We offer introductory courses to all engineering programmes at DTU and specialised courses to the mathematics, computer science, and other programmes. We offer continuing education courses and scientific advice within our research disciplines, and provide a portfolio of innovation activities for students and employees. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development (Sustainable Development scholarships) Goals. Hans Christian rsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.
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